Ren Finlayson
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Chat Client Examples
This folder contains simple examples demonstrating direct usage of various chat clients.
Examples
| File | Description |
|---|---|
azure_assistants_client.py |
Direct usage of Azure Assistants Client for basic chat interactions with Azure OpenAI assistants. |
azure_chat_client.py |
Direct usage of Azure Chat Client for chat interactions with Azure OpenAI models. |
azure_responses_client.py |
Direct usage of Azure Responses Client for structured response generation with Azure OpenAI models. |
chat_response_cancellation.py |
Demonstrates how to cancel chat responses during streaming, showing proper cancellation handling and cleanup. |
azure_ai_chat_client.py |
Direct usage of Azure AI Chat Client for chat interactions with Azure AI models. |
openai_assistants_client.py |
Direct usage of OpenAI Assistants Client for basic chat interactions with OpenAI assistants. |
openai_chat_client.py |
Direct usage of OpenAI Chat Client for chat interactions with OpenAI models. |
openai_responses_client.py |
Direct usage of OpenAI Responses Client for structured response generation with OpenAI models. |
Environment Variables
Depending on which client you're using, set the appropriate environment variables:
For Azure clients:
AZURE_OPENAI_ENDPOINT: Your Azure OpenAI endpointAZURE_OPENAI_CHAT_DEPLOYMENT_NAME: The name of your Azure OpenAI chat deploymentAZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: The name of your Azure OpenAI responses deployment
For Azure AI client:
AZURE_AI_PROJECT_ENDPOINT: Your Azure AI project endpointAZURE_AI_MODEL_DEPLOYMENT_NAME: The name of your model deployment
For OpenAI clients:
OPENAI_API_KEY: Your OpenAI API keyOPENAI_CHAT_MODEL_ID: The OpenAI model to use for chat clients (e.g.,gpt-4o,gpt-4o-mini,gpt-3.5-turbo)OPENAI_RESPONSES_MODEL_ID: The OpenAI model to use for responses clients (e.g.,gpt-4o,gpt-4o-mini,gpt-3.5-turbo)
For Ollama client:
OLLAMA_HOST: Your Ollama server URL (defaults tohttp://localhost:11434if not set)OLLAMA_MODEL_ID: The Ollama model to use for chat (e.g.,llama3.2,llama2,codellama)
Note
: For Ollama, ensure you have Ollama installed and running locally with at least one model downloaded. Visit https://ollama.com/ for installation instructions.